RITA1

protein abundance — cross-omics
Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RITA1 protein abundance is significantly associated with the RNA expression of many other genes, with 4,338 significant associations in total. GBM shows the largest number of these associations.

The most reproducible RITA1-associated genes across cancer lineages are GALNT16, NECAB3, and COQ10A. Each is linked with RITA1 in more than 1 cancer types. Because this analysis shows association rather than direction, both RITA1-to-partner and partner-to-RITA1 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, RITA1 versus GALNT16 in BRCA, with a Pearson correlation of 0.49.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (RITA1→partner) and Y-score (partner→RITA1) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
BRCAGALNT16 →+1.380+0.760<.001.00132
GBMNECAB3 →+0.985+0.361.002.00232
BRCACOQ10A →+0.612+0.607.001.00232
LSCCCOX15 →+0.353+0.260<.001.00332
GBMZFYVE27 →+0.690+0.362.002.00232
GBMPPIP5K1 →+0.892+0.362.009.00232
Each partner links to its Q-omics profile. Showing the 6 strongest of 4,338 associations by consensus.

RITA1 vs GALNT16 — BRCA

Per-sample scatter of RITA1 vs GALNT16 in BRCA (Pearson r = 0.49).

Explore this scatter interactively →

Exploration